n.bins

0th

Percentile

Number of Bins for Histogram

Several rules for calculating the number of bins to use for a histogram.

Keywords
dplot
Usage
n.bins(x, rule=c("freedman.diaconis", "sturges", "scott", "simple"))
Arguments
x
numeric vector, variable for histogram
rule
see below.
Details

[object Object],[object Object],[object Object],[object Object] where $n$ is the number of observations, $range$ is the range of x, $IQR$ is the inter-quartile range of x, and $s$ is the standard deviation of x.

Value

• the number of bins.

References

Freedman, D. and Diaconis, P. (1981) On the histogram as a density estimator. Zeitschrift fur Wahrscheinlichkeitstheorie und verwandte Gebiete 57, 453--476. Scott, D. W. (1979) On optimal and data based-histograms. Biometrika 66, 605--610. Venables, W. N. and Ripley, B. D. (1999) Modern Applied Statistics with S-PLUS, Third Edition, Springer.

hist

• n.bins
Examples
data(UN)
attach(UN)
n.bins(gdp)
## [1] 19
n.bins(gdp, "sturges")
## [1] 9
n.bins(gdp, "scott")
## [1] 8
n.bins(gdp, "simple")
## [1] 22
hist(gdp)
hist(gdp, nclass=n.bins(gdp))
Documentation reproduced from package car, version 1.0-14, License: GPL version 2 or newer

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